scholarly journals Correlation between Chronological Age, Cervical Vertebral Maturation and Fishman's Skeletal Maturity Indicators in Southern Chinese

2008 ◽  
Vol 78 (4) ◽  
pp. 591-596 ◽  
Author(s):  
Hessa Abdulla Alkhal ◽  
Ricky W. K. Wong ◽  
A. Bakr M. Rabie
Keyword(s):  
Skeletal Maturity ◽  
Chronological Age ◽  
Southern Chinese ◽  
Cervical Vertebral Maturation

scholarly journals Chronological Age in Different Bone Development Stages: A Retrospective Comparative Study

Children ◽  
2021 ◽  
Vol 8 (2) ◽  
pp. 142
Author(s):  
Abel Emanuel Moca ◽  
Luminița Ligia Vaida ◽  
Rahela Tabita Moca ◽  
Anamaria Violeta Țuțuianu ◽  
Călin Florin Bochiș ◽  
...  
Keyword(s):  
Retrospective Study ◽  
Comparative Study ◽  
Bone Development ◽  
Skeletal Maturity ◽  
Cervical Vertebrae ◽  
Chronological Age ◽  
Exclusion Criteria ◽  
Development Stages ◽  
Retrospective Comparative Study ◽  
Cervical Vertebral Maturation

The assessment of an individual’s development by investigating the skeletal maturity is of much use in various medical fields. Skeletal maturity can be estimated by evaluating the morphology of the cervical vertebrae. The aim of this study was to conduct comparisons of the chronological age in different bone development stages. The retrospective study was conducted based on lateral cephalometric radiographs belonging to patients with ages between 6 and 15.9 years, from Romania. For the assessment of skeletal maturity, the Cervical Vertebral Maturation (CVM) method was used. In total, 356 radiographs were selected, but after applying the exclusion criteria, 252 radiographs remained in the study (178 girls and 74 boys). Different mean chronological age values were obtained for the general sample, as well as for the two genders. The chronological age started to be significantly different at the CS4 stage. Patients with CS4, CS5, and CS6 stages had a significantly higher chronological age compared to patients with CS1, CS2, and CS3 stages. It was noted that patients with CS1 and CS2 stages were more frequently boys, while patients with the CS5 stage were more frequently girls.

scholarly journals Correlation between Chronological Age, Cervical Vertebral Maturation and Fishman’s Skeletal Maturity Indicators in Central India Population

2019 ◽  
Vol 9 (2) ◽  
pp. 52-56
Author(s):  
Natasha Patil ◽  
Neha Maheshwari ◽  
Rohit Sharma ◽  
Shashank Soni ◽  
Ashish Kushwah
Keyword(s):  
Skeletal Maturity ◽  
Cervical Vertebrae ◽  
Rank Correlation ◽  
Cervical Vertebra ◽  
Central India ◽  
Growth Period ◽  
Growth Spurt ◽  
Chronological Age ◽  
Spearman Rank Correlation Analysis ◽  
Cervical Vertebral Maturation

Introduction: Skeletal maturity indicators are very important indicators when diagnosing and panning the treatment in growing population. Cervical Vertebrae Method (CVM) and Fishman’s Skeletal Maturity Indicators are two commonly used methods for the diagnosis and treatment planning. The aim of the study was to investigate the correlation between cervical vertebral maturation (CVM)and Fishman’s hand-wrist skeletal maturity indicator and chronological age by including subjects within the range of circumpubertal growth spurt in Central India. Materials & Method: One Twenty Five contemporary hand-wrist and lateral cephalometric radiographs from population of Central India were randomly selected and analyzed. All subjects were within the circumpubertal period i.e. female subjects were between 10 and 15 years of age, and the male subjects were between 12 and 17 years of age. The hand-wrist bone analysis was evaluated using the method developed by Fishman whereas cervical vertebra bone analysis was evaluated using the method developed by Baccetti and co-workers. These two methods and chronological age were correlated using the Spearman rank correlation analysis. Result: CVM was significantly correlated with hand-wrist maturation (r=0.8868). However low correlation was found between the CVM and chronological age( r =0.7139) and little correlation was found between the HWM and chronological age ( r =0.6892). Conclusion: CVM is a valid indicator of skeletal growth during the circumpubertal growth period and has a high correlation with the HWM for the Central India population. However chronological age is not suitable to measure skeletal maturity as shown by the low correlations found between the chronological age and both CVM and HWM.

scholarly journals Selective effects of biological and chronological age on the development of cognitive abilities in adolescence

2021 ◽  
Author(s):  
Ilona Kovacs ◽  
Kristof Kovacs ◽  
Patricia Gervan ◽  
Katinka Utczas ◽  
Gyongyi Olah ◽  
...  
Keyword(s):  
Cognitive Abilities ◽  
Skeletal Maturity ◽  
Pubertal Timing ◽  
Working Memory Capacity ◽  
Bone Age ◽  
Gonadal Hormones ◽  
Individual Variability ◽  
Biological Age ◽  
Chronological Age ◽  
Biological Maturity

Adolescent development is not only shaped by the mere passing of time and accumulating experience, it also depends on pubertal timing and the cascade of maturational processes orchestrated by gonadal hormones. Although individual variability in puberty onset confounds adolescent studies, it has not been efficiently controlled for. Here we introduce ultrasonic bone age assessment to estimate biological maturity and disentangle the independent effects of chronological and biological age on adolescent cognitive abilities. Comparing cognitive performance of participants with different skeletal maturity we uncover the striking impact of biological age on both IQ and specific abilities. We find that biological age has a selective effect on abilities: more mature individuals within the same age group have higher working memory capacity and processing speed, while those with higher chronological age have better verbal abilities, independently of their maturity. Based on our findings, bone age is a promising biomarker for adolescent research.

scholarly journals The association between chronological age, skeletal maturity and dental maturity

2021 ◽  
Vol 35 (2) ◽  
pp. 167-173
Author(s):  
Brenda Lee Cutajar ◽  
Fraser McDonald ◽  
Graham Roberts ◽  
Victoria Lucas ◽  
Simon Camilleri
Keyword(s):  
Skeletal Maturity ◽  
Chronological Age ◽  
Dental Maturity

scholarly journals Cervical Vertebral Maturation Method: Reproducibility and Efficiency of Chronological Age Estimation

2021 ◽  
Vol 11 (7) ◽  
pp. 3160
Author(s):  
Lydia Schoretsaniti ◽  
Anastasia Mitsea ◽  
Kety Karayianni ◽  
Iosif Sifakakis
Keyword(s):  
Age Estimation ◽  
High Reliability ◽  
Intraclass Correlation ◽  
Growth Spurt ◽  
Chronological Age ◽  
Maturation Stage ◽  
Rater Reliability ◽  
Absolute Agreement ◽  
Cervical Vertebral Maturation ◽  
Cervical Maturation

The aim of this study was to investigate the reproducibility of the Cervical Vertebral Maturation (CVM) method and the potential for chronological age estimation using this method. The sample consisted of 474 lateral cephalometric radiographs, from orthodontic patients aged 6.4–22.4 years. Six raters were trained to the CVM method (Baccetti). All images were assessed twice. Intra- and inter-rater agreements were assessed by Cohen’s weighted kappa and intraclass correlation coefficient, respectively. Analysis of variance was performed to investigate the correlation between cervical maturation stages and chronological age. The age prediction potential of the method was tested by general linear model regression analysis. Intra-rater reliability ranged from 0.857 to 0.931. Intra-rater absolute agreement ranged from 77% to 87% however inter-rater absolute agreement was lower than 50%. Inter-rater reliability was higher than 0.9. The 3rd Cervical Maturation Stage (CS3) showed the lowest reproducibility. The mean age differences among the 6 CS stages were statistically significant and increased as the CS increased. CS and gender could roughly explain the 60% (adjusted R2 = 0.61) of the age variance of the sample. This CVM method proved able to show high reliability; however, it cannot predict accurately the pubertal growth spurt. A direct correlation was found between cervical stages and chronological age. This method provides a broad estimation of chronological age.

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